`DMTL`

DMTL is an R package for applying distribution mapping based transfer
learning. DMTL employs the widely renowned concept of histogram matching
and extend it to include distribution estimates like kernel density
estimates. The typical use case would be if somebody wants to utilize
data from multiple sources for similar kind of experiments in
statistical modeling but there exists significant distribution shift
between both predictors and response values. In this case, DMTL can
alleviate this shift by generating a distribution matching based map and
transfer the target data to the source domain to utilize the available
source data for modeling using various predictive modeling
techniques.

#### Note:
The package is currently waiting evaluation from the CRAN submission
team.

In the meanwhile- if you want to install it on your local machine,
you will need the `devtools`

package which is available in
CRAN. You can install it using the following command -

` install.packages("devtools")`

Once you have it, you need to use the following code chunk -

```
library(devtools)
install_github("dhruba018/DMTL")
```